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Syaiful Hendra
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syaiful@untad.ac.id
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sciencetech.untad@gmail.com
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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 6 Documents
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Search results for , issue "Vol. 3 No. 1 (2022): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL" : 6 Documents clear
An TEACHING ENGLISH WITH INTERESTING ACTIVITIES: English Sarvinoz Haydarova
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.v3i1.15230

Abstract

Abstract. English, the official language of the entire world is a very tricky language to teach. In fact, every language varies to teach. English is a very old language and has undergone many forms of changes from Proto English derived from the Latin and the German culture to Modern English which was established after in thepost Renaissance period. Each version was simpler than it’s previous. Present-day English is the simplest adaptation of a very old Language and yet it is still difficult to teach this language effectively especially to those who speak English as a second language. This paper analyses the innovative and quite interesting methods we have in teaching the English language. We may have a number of teaching methods in between traditional and modern. Everybody has their own understanding and conclusions on teaching the English language. But this paper portrays combining these two types of how we can make our teaching very effective.
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%.

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