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Syaiful Hendra
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Jl. Soekarno Hatta No.KM. 9, Tondo, Kec. Mantikulore, Kota Palu, Sulawesi Tengah 94148, Indonesia
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Tadulako Science and Technology Journal
Published by Universitas Tadulako
ISSN : 27764097     EISSN : 27764893     DOI : https://doi.org/10.22487/sciencetech
Core Subject : Economy, Science, Education, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media
Tadulako Sciencetech Journal is an open-access global publication for scientific articles which is intended as a vehicle for the dissemination of new finding research results on science and technology. Manuscripts that are published in Tadulako Sciencetech Journal develop underlying science principles for innovative technologies and presents scientific advances for enabling real-world application across multiple disciplines. Papers published in Tadulako Sciencetech Journal are therefore available to a much wider readership that not only to the traditional academic sector but also to policy institutions, industry, the general public and the media. It is published two times a year, published in July, and December in electronic format with free online access. Submitted papers must be written in English for an initial review stage by editors and further review process by a minimum of two international reviewers. These topics are addressed in full-length academic articles, critical statements on current issues, developmental practice, and reviews of books based Science and Technology. The purpose of the journal is to publish original and high-quality research papers in the field of Science and Technology. The journal presents an innovative platform for researchers, students, practitioners and educators to both learn from and contribute to the field. Finally, accepted and published papers will be freely accessed in this website and the abstracting & indexing databases, such as Google Scholar, PKP Index, Dimensions, etc. The journal invites original, significant, and rigorous inquiry into all subjects within or across disciplines related to Science and Technology. It encourages debate and cross-disciplinary exchange across a broad range of approaches.
Arjuna Subject : Umum - Umum
Articles 54 Documents
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Estimation of Sea Wave Height in Toaya Coastal Waters, Central Sulawesi Setiyawan; Gracela Tangke Datu; Syaiful Hendra; Yuli Rahman
Tadulako Science and Technology Journal Vol. 2 No. 1 (2021): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v2i1.15572

Abstract

Introduction: Toaya is one of the villages located in Sindue District, Donggala Regency, which along the village is located in the coastal area of the high seas. Donggala Regency is the oldest port city in Central Sulawesi Province whose territory has a long coastal area of 400 km. The waves that occur in the ocean are mainly caused by the influence of the wind. Method: This study aims to obtain wave heights that occur at Toaya Beach and can predict waves that occur with a return period of the next few years period (2, 5, 10, 25, 50, 100) years using the Gumbel Method and Fisher Typpet-Type 1 Method. Results and Disscussion: Based on the results of the analysis, it was found that the significant wave height (Hs) = 1.65 m and the significant wave period (Ts) = 7.05 seconds in 2013 in the northwest direction. For the analysis of the frequency distribution using the Gumbel method at a return period of 2 years = 1.45 m, at a return period of 5 years = 1.59 m, at a return period of 10 years = 1.69 m, at a return period of 25 years = 1.80 m , at the return period of 50 years = 1.89 m and at the return period of 100 years = 1.98 m while the frequency distribution analysis using the Fisher Tippet Type-1 method at the return period of 2 years = 1.45 m, at the return period of 5 years = 1.56 m, at a return period of 10 years = 1.63 m, at a return period of 25 years = 1.72 m, at a return period of 50 years = 1.79 m and at a return period of 100 years = 1.86 m
Implementation of the Multi-Objective Optimization Method based on Ratio Analysis (MOORA) in the Decision Support System for Determining the Beneficiary of BPJS Health Contribution Assistance (Case Study: Loru Village, Sigi Regency) Hajra Rasmita Ngemba; Rudy Reynold Richardo; Rosmala Nur; Muhammad Rusydi; Christian Lopo; Mayin Nu; Annisa Putri Febrina
Tadulako Science and Technology Journal Vol. 2 No. 1 (2021): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v2i1.15577

Abstract

Introduction: This study aims to build an application that can carry out the selection process for prospective recipients of contribution assistance so that it is easier and becomes an alternative choice for the Village Government in determining eligible residents for BPJS Health contribution assistance in Loru Village, Sigi Regency. Methods: This decision support system application is web-based using the Hypertext Prepocessor (PHP) programming language with the Multi Objective Optimization method On The Basis Of The Ratio Analysis (MOORA), using sublime text 3 software and also MySQL as the database. In this study, 444 households were used as data for heads of households. With the system, orders will be carried out objectively and in detail. To determine which residents are truly entitled to receive assistance, this is done by compiling citizen data by considering the value of the MOORA method formula for each of the specified criteria. Result: The results that have been carried out by this author are a solution to determine the recipients of BPJS Health contribution assistance in Loru Village, Sigi Regency, so that the selection process can be more effective in terms of time and operation. Conclutions: Based on manual calculations as a comparison with the calculation of the system built, the same results were obtained. This shows that the system built can process the selection of potential recipients of contribution assistance. The result of the system process using the MOORA method is the ranking of PBI candidates with the highest rank to the lowest rank.
Fourth-year Indonesian medical students’ time management in Problem-based learning indah indah
Tadulako Science and Technology Journal Vol. 2 No. 1 (2021): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v2i1.15580

Abstract

problem-based learning involves the student in its learning process. The students are expected to do an independent learning in every aspect of learning events, which is very effective to students depend on how they can manage their own schedules and their own activities. This was a qualitative study. The subjects were twenty six medical students with focus group discussion method, it has 1 key informant and 26 common informants. Data analysis used matrix technique where the information was processed in table and they were: number, informant’s name, emik, ethic, conclussion and displayed in descriptive narration. Students with good time management had characteristics of play an active role in answering and asking questions, have a lot of information about the case in the scenario, understand the explanation given by friends, and achieve the learning objectives given in the tutorial discussion. While students with poor time management were still looking for the materials during the tutorial discussion, confused by the explanation given by friends during the tutorial, passive during the tutorial, and give opinion during the discussion, but no relevant reference. The strategy used by students is reading tutorial material and discussing with friends before the session. The importance of time management in implementing problem-based learning is that students can comprehensively study the given cases and encourage students to actively identify and solve problems in discussions
The Comparative Analysis Using Epanechnikov and Uniform Regression on Cayenne Chili Production in Central Sulawesi in 2020 Emiliani Ni Luh; Ni Luh Putu Astuti Dewi Ariani; Afifa Afifa; Agatha Sora Kedoh; Lilies Handayani
Tadulako Science and Technology Journal Vol. 3 No. 1 (2022): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v3i1.15752

Abstract

Cayenne pepper (Capsicum frutencens L.) is an annual horticultural crop that has high economic value. The production of cayenne pepper in general in Central Sulawesi in 2016 reached 30.18.40 tons with a harvested area of ​​75 ha with a productivity of 56.74 kw ha-1 . In 2017 production decreased to 21,299.50 tons with a harvested area of ​​2,940 ha, and productivity of 7,244 kw ha-1 (BPS Central Sulawesi, 2018). The decrease in chili production is due to a decrease in harvested area that occurs every year. The harvest area is getting smaller because a lot of land has been built into residential areas. So that farmers must be able to take advantage of all existing land even though the land is land that has a low fertility level. To obtain an increase in production and optimal growth of cayenne pepper, adequate plantation land is needed. Based on the description above, it is deemed necessary to conduct comparative analysis research using gaussian kernel regression and epanechnikov kernel regression on cayenne pepper production in Central Sulawesi in 2020.
Linear Trend Regression Analysis On Gold Forecasting For Investment In Indonesia During The Covid-19 Pandemic Nursyahraini Husen; Rais; Lilies Handayani
Tadulako Science and Technology Journal Vol. 3 No. 1 (2022): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v3i1.15999

Abstract

Linear trend regression is also known as straight line trend, is a form of linear trend, that is trend whose variable X is (Time Period) highest rank one. The purpose of this study is to look at the model and predict the amount of gold prices during the COVID-19 pandemic in Indonesia using the linear trend regression method. The results obtained for the model of the total price of gold during the COVID-19 pandemic in Indonesia are Y = 623584.1 + 6129.1X + . As for forecasting the amount of gold prices for investment during the COVID-19 pandemic in Indonesia for the next 6 months using the linear trend regression method, it increases every month, it can be concluded that gold is suitable for investment because the price tends to rise, especially during the Covid-19 pandemic in Indonesia.
CHARACTERISTICS OF BREAKING WAVES USING THE HINDCASTING METHOD ON MAMBORO BEACH, PALU CITY Nurul Salsabilah Rizkia Izmat; Setiyawan Setiyawan
Tadulako Science and Technology Journal Vol. 3 No. 1 (2022): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v3i1.16005

Abstract

Introduction: Mamboro Beach is one of the beaches in the northern partof Palu City, Central Sulawesi Province, approximately 14 km from PaluCity. Wave activity, currents, tides, and winds are some of the triggers forsedimentation. Mamboro Beach is prone to sediment movement which canresult in shoreline changes such as erosion which results in the retreat ofthe shoreline (abrasion), or causes siltation which results in theadvancement of the shoreline (accretion). As a result of changes in theshape of the coast, it will affect the hydrodynamic processes of the waters,such as changes in the characteristics of ocean waves. This study aims todetermine the characteristics of the breaking waves, the height and depthof the breaking waves that occur on the Mamboro beach, Palu City usingthe Hindcasting method, the input required is bathymetry data, tides for 15days, wind data for 10 years (past), fetch data. From the results ofHindcasting calculations and analysis of wave transformation using winddata for 10 years (past), it can be concluded that the characteristics of thetype of Breaking Wave that occurred on the Mamboro beach, Palu City, isa surging type where the waves break right on the shore. The calculatedbreaking wave height is 2.0911 meters and the breaking wave depth is1.882 meters.
DECISION SUPPORT SYSTEM FOR HOME SURGERY ASSISTANCE RECIPIENT USING TECHNIQUE FOR ORDER PERFORMANCE BY SIMILARY TO IDEAL SOLUTIONS (TOPSIS) METHOD (CASE STUDY : KOTAPULU VILLAGE, DOLO DISTRICT) Syaiful Hendra; Hajra Rasmita Ngemba; Kadek Agus Dwijaya; Herdianto Ladania; Muhammad Aristo Indrajaya
Tadulako Science and Technology Journal Vol. 3 No. 1 (2022): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v3i1.16007

Abstract

This study aims to create a decision support system for home renovation aid recipients that can speed up and simplify the decision-making process in providing home surgery assistance so that home surgery assistance is more objective in accordance with community priorities or on target using the TOPSIS method. The TOPSIS method uses the principle that the chosen alternative must have the closest distance from the positive ideal solution and the longest (farthest) distance from the negative ideal solution from a geometric point of view by using the Euclidean distance (distance between two points) to determine the relative proximity of an alternative to the optimal solution. . The criteria used in the system are land ownership, roof conditions, wall conditions and floor conditions. The data used by the author is 210 original data from the Kotapulu village office. so that the system created by the author can make it easier for the Kotapulu village office to determine the recipient of the house renovation assistance only by inputting population data based on the survey results.
Comparative Analysis of C4.5 And Naïve Bayes Algorithms for Classification of Food Vulnerable Areas Hajra Rasmita Ngemba; Syaiful Hendra; Kadek Agus Dwijaya; Herdianto Ladania; Muhammad Aristo Indrajaya
Tadulako Science and Technology Journal Vol. 3 No. 1 (2022): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v3i1.16012

Abstract

Data mining merupakan proses menemukan informasi atau pola yang penting dalam basis data berukuran besar dan merupakan kegiatan untuk menemukan informasi atau pengetahuan yang berguna secara otomatis dari data yang jumlahnya besar. Pada data mining, data yang berukuran besar diolah dengan menggunakan teknik-teknik tertentu untuk mendapatkan informasi baru mengenai data tersebut. Salah satu teknik yang biasa digunakan dalam data mining adalah klasifikasi. Klasifikasi merupakan proses pembelajaran sebuah fungsi atau model terhadap sekumpulan data latih, sehingga model tersebut dapat digunakan untuk memprediksi klasifikasi dari data uji. Beberapa metodenya antara lain algoritma C4.5 dan naïve bayes. Rawan pangan adalah kondisi tidak tersedianya pangan yang cukup bagi setiap individu atau persorangan untuk dapat hidup yang berkualitas secara bekelanjutan. Pada penelitian ini bertujuan untuk membandingkan algortima C4.5 dan naïve bayes dalam hal keakuratan untuk mengklasifikasikan dareah rawan pangan. Data yang digunakan pada penelitian ini merupakan data rawan pangan pada provinsi Sulawesi Tengah dengan total 517 data yang terdiri dari data tahun 2018 sampai 2020. Hasil pada penelitian ini menunjukan bahwa klasifikasi algoritma C4.5 tingkat keakuratanya lebih baik sebesar 84% dibandingkan dengan naïve bayes sebesar 68%.
Spatial Distributio n of Economic Facilities in Tondo Urban Village, Palu City Ikbal; Iwan Alim Saputra
Tadulako Science and Technology Journal Vol. 4 No. 1 (2023): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v4i1.16336

Abstract

This research was conducted in Tondo Village, Palu City with the aim of knowing the spatial distribution (distribution and distribution patterns ) of economic facilities in Tondo Village, Palu City, knowing the characteris tics of economic facilities (Shops and Warungs ) in Tondo Village, Palu City. This research is a descriptive survey method research with samples taken using Saturated samples (taken all) for distribution and spatial patterns to determine the characteristics of respondents using simple random sampling, namely 15% of the population of 38 respondents Stores and 23 responses and Warungs from the entire population of 253 Stores and 152 Warungs in Tondo village, data collected through observation, interviews , and document recording methods whose results were analyzed using Nearest neighbor analysis , the results showed that the spatial distribution pattern of Stores and Warungs in Tondo Village showed a clustering pattern. The characteristics of economic facilities (shops and stalls ) in Tondo Village , Palu city are owned by traders with an average age of 30 to 40 years with a high school education level, the income earned from the shop business is Rp.6,293,478, per month and the average shop business income is Rp.9,131,579, per month, the reason for choosing a business location is because they see an opportunity that the enthusiasm of buyers in this location is more promising for profit, the length of time they have been in the shop and shop business is above five years on average
Land Use Change on Potential Landslide Vulnerability in Palolo Sub-district, Sigi Regency Novitasaril T; Aziz Budianta; Iwan Alim Saputra
Tadulako Science and Technology Journal Vol. 4 No. 1 (2023): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v4i1.16337

Abstract

the population. This s tudy aims to determine how large the extent of land-us e change that occurred in the Dis trict of Palolo within 13 years (2003-2016), as well as determine the potential for lands lides in the Dis trict of Palolo due to land -us e changes that occur. The res earch location is in the Dis trict of Palolo, Sigi Regency. Res earch data included: LANDSAT 8 imagery, RBI Palolo map, DEM s lope data, rainfall, geological type, s oil type, and population dens ity. The method of data collection is done by indirect obs ervation and calculation by Geographic Information Sys tem (GIS) analys is , as well as us ing the Qua ntum GIS (QGIS) application and documentation s tudy. The method of data analys is is done us ing image interpretation analys is , s caling, coding, overlay techniques , and des criptive analys is . The res ults of the s tudy s how that land-us e changes that occurred in 2003 to 2016 covered 47,366.81 hectares of the total area of Palolo Subdis trict, which was 64,710.21 Ha or 73.2%. Areas with moderate and high levels of potential lands lide dis as ters are more prevalent in areas that experience less intens ive land-us e change (IC). The area referred to can be s een from the A2-KI-B1 land unit covering 18,013,279 ha or 38.02%, and the A3-KI- B1 land unit covering 10,491,693 ha or 22.15% of the total area that has changed ie 47,366.81 ha. This s hows that the occurrence of lands lides in the Palolo s ub-dis trict was caus ed more by the weather (high rainfall) in the Palolo s ub-dis trict.

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