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Teguh Susyanto
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INDONESIA
Jurnal Ilmiah Sinus
Published by STMIK Sinar Nusantara Surakarta
ISSN : 16931173     EISSN : 25484028     DOI : http://dx.doi.org/10.30646/sinus
Core Subject : Science,
Computer Science & IT
Jurnal Ilmiah SINUS is a magazine published twice a year, wherein one issue there are seven articles. Jurnal Ilmiah SINUS as a communication medium to report the results of field research, library research, observations or opinions on problems arising related to the development of information technology.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 263 Documents
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Analisis Sentimen terhadap Penanggulangan Bencana di Indonesia Endah Nofiyanti; Erry Maricha Oki Nur Haryanto
Jurnal Ilmiah SINUS Vol 19, No 2 (2021): Vol. 19 No. 2, Juli 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v19i2.563

Abstract

Disasters have become a part of human life, whether natural disaster, non-natural disaster or from human error, which is causes fatalities, environmental damages, property losses, or psychological impact, especially in Indonesia. The National Agency for Disaster Countermeasure (BNPB) is the Indonesian board for natural disaster affairs. For each region, Badan Penanggulangan Bencana Daerah (BPBD) as for as the regional disaster management. Social media has become a part of everyday life for people nowdays. The purpose of this research is to find out the public reaction, with classification positive, neutral or negative opinion to the disaster management in Indonesia from Twitter. One text mining method from Natural Processing Language (NLP) is sentiment analysis. Sentiment analysis applied to analyze data with public opinion as the decision-making support. Based on the research, there were 23,53 % positive tweets, 57,35 % neutral tweets and 19,12 % negative tweets. From the result, mostly Indonesian have neutral opinion about the disaster management. The result also displayed in histogram, pie chart and word cloud.
Sistem Pendukung Keputusan Penentuan Pemberian Pinjaman Dengan Metode Perbandingan Eksponensial (MPE) Pada Koperasi XYZ Agus Warseno; Yustina Retno Wahyu Utami; Andriani Kusumaningrum
Jurnal Ilmiah SINUS Vol 19, No 1 (2021): Vol. 19 No. 1, Januari 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v19i1.527

Abstract

The XYZ cooperation is a business entity dealing with savings and loans, building rental, convection, rice procurement and shops that are very concerned about the welfare of its members. The appraisal process for loan approval decision in the XYZ cooperative was still lack of assessment. It was based on the value of the members’ report cards which covers collateral, wealth, and behavior so that the funds were not often on the target. Moreover, the cooperative members were often careless in repayment process. The method in this research was Exponential Comparison Method. This method determined the priority order of alternative decisions with criteria. Those criteria in this research were: Report cards, BI Checking, Application Purpose, source of income, monthly income, installment period, completeness of files, guarantees, status, and the amount requested. As a result of applying this system and adding some new criteria, cooperation considers loan approval assessments in determining the eligible members. The results of functional testing by black-box method showed that the system ran as expected and the functions of the application ran properly.
Literatur Review Metode Evaluasi Kualitas Usability Website Aldy A Kulakat; Ema Utami; Ferry Wahyu Wibowo
Jurnal Ilmiah SINUS Vol 19, No 1 (2021): Vol. 19 No. 1, Januari 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v19i1.458

Abstract

Website is a collection of online documents containing Web pages that are moored in a domain as a unique name. It can be accessed via the Internet so that existing information can be displayed and accessed by Web visitors. Web visitors tends to need websites with user interface which is easy to use, to interact (usability), or communicate in sharing information. There are basically some benchmarks that can be used to measure website usability, including (1) Learnability, easiness to learn; (2) Efficiency, user speed level; (3) memorability, easiness to remember; (4) Error and safety, low fault rate; and (6) Satisfaction, satisfied user. Moreover, there are several methods of evaluation of the website in this research, such as: (1) Thinking Aloud Method, (2) User Perfomance test, (3) Remote Usability Test, (4) Cooperative Evaluation, (5) Expert Review, (6) Heuristic Evaluation, (7) Cognitive Walkthrough, (8) Plurastic Walkthrough, (9) Field Observation, and (10) Interview and Focus group.   In addition, the selection of a questionnaire or sampling deployment method and designing interface method may also affect the outcome of the evaluation of the website.
Technology Acceptance Model pada Sistem Informasi Akademik berbasis Web Yovita Kinanti Kumarahadi; Kumaratih Sandradewi
Jurnal Ilmiah SINUS Vol 19, No 2 (2021): Vol. 19 No. 2, Juli 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v19i2.534

Abstract

Academic information system is an important system in students learning’s activities because it’s used as connector between students and lecturers. In addition, academic information system also acts as a liaison between lecturers and other relevant external parties. Academic information system provides several services, both for students and lecturers. These facilities include the provision of information on study plans, grades, schedules, and courses. However, only a few facilities are frequently used so that the use of the academic information system is not optimal.The problem in this study is the need for an evaluation to determine the acceptance of the academic information system by users, so that the system can be improved and developed. This study aims to determine the acceptance of web-based academic information system by users at STMIK Sinar Nusantara Surakarta with the Technology Acceptance Model or TAM. 
Klasifikasi Penyakit Tanaman Padi Menggunakan Model Deep Learning Efficientnet B3 dengan Transfer Learning Endang Anggiratih; Sri Siswanti; Saly Kurnia Octaviani; Arum Sari
Jurnal Ilmiah SINUS Vol 19, No 1 (2021): Vol. 19 No. 1, Januari 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v19i1.526

Abstract

The level of rice productivity is influenced by several inhibiting factors, for example disease attack in rice plants. The slow and inappropriate treatment of rice plant can make the crop failure so that rice production and farmers' income decrease. The symptoms of rice disease are difficult to distinguish, especially in severe symptoms. Collaboration with other fields, especially computer science, is needed to classify diseases automatically so that the farmers can take action for plant treatment and the spread of disease can be controlled quickly. The classification of diseases based on images requires the best features/characteristics so that the disease can be classified. In this research, Deep Learning method, especially Convolutional Neural Network with EfficientNet B3 architecture, can extract features very well. In this research, the classification of brown spot and bacterial leaf disease by applying EfficientNet B3 with transfer learning reached 79.53% accuracy and 0.012 loss/error.
Penerapan Metode Penghalusan Eksponensial Tunggal pada Prediksi Penjualan Air Minum dalam Kemasan Dwi Handoko; Andriani Kusumaningrum KW; Retno Tri Vulandari
Jurnal Ilmiah SINUS Vol 19, No 2 (2021): Vol. 19 No. 2, Juli 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v19i2.530

Abstract

The Bottled Drinking Water Industry has grown rapidly to various provinces and cities throughout Indonesia now. The development of this industry is caused by high demand from consumers and the lower quality of raw water in springs and wells. PT. Cahaya Bumi Intanpari (CBI) is a company that produces gallons, bottles, and glasses bottled drinking water under the brand “AirMu”. Sales of bottled water every month always fluctuate, the management of PT. Cahaya Bumi Intanpari requires an estimate of the amount of production of each type of bottled water to market demand in the future. Based on the description of the background, in this study, a desktop-based application was designed and built. The research method used includes data collection and data analysis. Data collection includes observation, interviews, and literature study. While data analysis includes making data flow diagrams. The forecasting model is used in forecasting the sales of bottled drinking water at PT. Cahaya Bumi Intanpari is a time series or it can be called a time series, and the forecasting method used is single exponential smoothing. From the results of calculation testing, it is proven that the Single Exponential Smoothing method can be implemented in the AMDK sales forecasting system. Based on the validity test, it is found that the prediction test results of bottled drinking water sales below 20% are included in the good criteria.
Rekomendasi Tempat Wisata Di Kabupaten Grobogan Laodikia Galih Krisna Perbawa; Muhammad Hasbi; Bebas Widada
Jurnal Ilmiah SINUS Vol 19, No 2 (2021): Vol. 19 No. 2, Juli 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v19i2.560

Abstract

Geografis Information System (SIG) is a computer system used to manipulate geographic data. The system is implemented with computer hardware and software that serves to init and verify data, data compilation, data storage, data changes and updates, data management and exchange, data manipulation, data calling and presentation and data analysis.In Grobogan Regency itself there are still many tourist locations that are not known to the public, especially tourists outside the area.  The number of tourist attractions in Grobogan Regency itself is approximately 21 places, both natural tourism such as Waterfalls, Sendang, Goa.Religious tourism such as Tombs or artificial tourism such as swimming pools and reservoirs.Because of the time and information, people find it difficult to know the point of location and also information from the tours located in Grobogan Regency. In this Thesis Study use the Haversine Formula Method. With analysis, system design, coding/construction, testing, and implementation. At the analysis stage, the collection of data is observation and literature studies. While the data source obtained in the form of primary data and secondary data. At the design stage of the system using Unified Modelling Language (UML) include use case diagrams, activity diagrams, sequence diagrams, and class diagrams. At the construction stage use google maps API, PHP and MySQL programming languages. And at the testing stage using the Blackbox technique. While the implementation of this system can be used on desktop devices. By using the search for the nearest route and can recommend it from a radius of 20 km.The expected result of this study is that the app can recommend tourist attractions based on distance and also include tourist information located in Grobogan, so that tourists can easily access the tourist attractions they want to go to. 
Analisis Mekanisme Pembelajaran Daring Secara Sysnchronous dan Asysnchronous dimasa Pandemic Covid-19 di STMIK Sinar Nusantara Iwan Ady Prabowo; Setiyowati .; Dwi Remawati
Jurnal Ilmiah SINUS Vol 19, No 1 (2021): Vol. 19 No. 1, Januari 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v19i1.524

Abstract

Circular Number 05/SEK/STMIK-SN/IV/2020 in STMIK Sinar Nusantara Surakarta regulates implementation of learning, midterm exams, and even thesis / final exams. Hence, STMIK Sinar Nusantara took a policy for the implementation of synchronous learning and asynchronous learning. Synchronous learning (one time: teleconference, chatting) applies (1) Google Meeting by sinus.ac.id account, (2) Virtual meeting as Skype and Zoom, and (3) Discussion in Classroom. Meanwhile, asynchronous learning (time difference) uses (1) handouts, (2) tutorials, (3) videos, and (4) simple exercises. The purpose of this study was to determine the mechanisms in online learning (E-Learning) during Covid-19 Pandemic at STMIK Sinar Nusantara.  This research only focuses on Synchronous and Asynchronous E-learning mechanism at STMIK Sinar Nusantara in even semester of 2019/2020. This research was conducted using 49 lecturers as respondents. The research method was descriptive statistical analysis. The results of the study by sampling 49 respondents as lecturers in online learning during Covid-19 Pandemic at STMIK Sinar Nusantara can be concluded that Synchronous learning (Conference by Google Meet, Skype, Zoom, Youtube Live, Umeetme) reached 57% and those who did not apply Synchronous learning (no conference) reached 43%. Meanwhile, the results of analysis in Asynchronous learning (handouts, tutorials, exercises / discussions, and videos) reached 88% and those who did not apply Asynchronous learning reached 12%. 
Penerapan Metode Perbandingan Eksponensial untuk Pemilihan Pengajuan Pembiayaan Pada KSPPS BMT NU Sejahtera Gemolong Widyasari Widyasari; Sri Hariyati Fitriasih; Tri Irawati
Jurnal Ilmiah SINUS Vol 20, No 1 (2022): Vol. 20 No. 1, Januari 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v20i1.577

Abstract

One of the institutions that provides financial services is a cooperative. Savings and loans cooperatives under Islam law (Shariah) provide financing to its members who apply for loan. However, the selection of these members is still using the manual method. This allows members who apply for financing to experience bad credit and its selection takes a long time. The purpose of this study is to create a decision support system for selecting a financing application so that bad credit does not occur. Algorithm method in this study was Exponential Comparison Method. Its system implementation used Visual Studio programming language with SQL Server database. As a result, there is an application for a decision support system of financing that can be used for making decisions about the eligibility of members in financing. This application had been tested by using Blackbox. The result of this system had features to cultivate data, count the eligible members, show the results of decision based on the total value. Its reports consisted of members’ identity, members’ criteria, and financing feasibility reports. The value total of exponential comparison from customer candidates with range and value of 75 obtained the financing. Meanwhile, range and value of 50-75 was reconsideration and 50 was not eligible to receive the financing. The alternative data of 10 financed prospective members reached 50% in this result of study. Testing was done by comparing the results of manual calculations and the results of system calculations.
Sistem Pendukung Keputusan Pemilihan Admin Terbaik Menggunakan Metode Simple Additive Weighting Di Kantor CV Sragen Pribadi Abthal; Muhammad Hasbi; Kumaratih Sandradewi
Jurnal Ilmiah SINUS Vol 20, No 1 (2022): Vol. 20 No. 1, Januari 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v20i1.585

Abstract

This company always works hard to be at the forefront with modern service standards supported by professional Human Resources. Human Resource Management greatly affects employee dedication and performance. In this regard, the Company has not been able to optimize, especially in determining the best administrator (Admin). This is due to the absence of media that can process the best admin's judgment in the office. For this reason, it is necessary to apply the best admin support system using the Simple Additive Weighting (SAW) method. The definition of the Simple Additive Weighting (SAW) method is often also known as the weighted addition method. The basic concept of SAW method is to find the weighted sum of the performance ratings for each alternative on all attributes. The purpose of this research is to find out the best admin every month, seen from the accuracy of work attendance, cooperation, discipline, and order. After the data was collected, HRDs can immediately use the calculation application using SAW method to determine the best admin. The test results obtained data that the best admin in CV office is A1 which has a value of 0.94.

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