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JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 2686228X     DOI : -
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Artikel yang dimuat melalui proses Blind Review oleh Jurnal JOSH, dengan mempertimbangkan antara lain: terpenuhinya persyaratan baku publikasi jurnal, metodologi riset yang digunakan, dan signifikansi kontribusi hasil riset terhadap pengembangan keilmuan bidang teknologi dan informasi. Fokus Journal of Information System Research (JOSH)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 16 Documents
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Search results for , issue "Vol 7 No 1 (2025): Oktober 2025" : 16 Documents clear
Analisis Usability Website Sistem Informasi Perpustakaan dengan System Usability Scale (SUS) dan Heuristic Evaluation (HE) Maulana, Fadly Safyuddin; Wibowo, Feri; Badharudin, Abid Yanuar; Wicaksono, Agung Purwo
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.8179

Abstract

This study aims to analyze the usability level of the Library Information System website of Muhammadiyah University of Purwokerto (SIPUS UMP) by combining two evaluation approaches, namely the System Usability Scale (SUS) and Heuristic Evaluation (HE). The evaluation was conducted by involving 30 active UMP student respondents for the SUS method and 5 expert evaluators from various professional backgrounds for the HE method. The HE evaluation results showed that the most significant problem was in the Help and Documentation aspect with the highest Severity Rating score of 3.10, while the Aesthetic and Minimalist Design aspect had the lowest score. Meanwhile, the results of the SUS method obtained an average score of 57.58%, which was categorized as Grade “D”, Adjective Rating “Good”, Acceptability “Marginal”, and Net Promoter Score (NPS) “Detractor”. These findings indicate that although the system is still acceptable to users, several improvements are needed in terms of appearance, documentation, and usage flow to improve the overall user experience. The combination of the HE and SUS methods in this study provides a comprehensive analysis both qualitatively and quantitatively as a basis for developing a more optimal system.
Sistem Penunjang Keputusan Penerima Bantuan Rumah Tidak Layak Huni (RTLH) Menggunakan Metode Swara Ardiansyah, Maulana; Fahmi, Hairul; Imtihan, Khairul
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.8235

Abstract

The Rumah Tidak Layak Huni (RTLH) Assistance Program is a government initiative aimed at improving the quality of life of low-income communities through the renovation of houses that do not meet livability standards. However, the selection process for beneficiaries still faces several challenges, particularly the lack of objectivity, potential subjectivity of field officers, and limitations in accurate assessment methods. This study aims to develop a Decision Support System (DSS) using the Step-wise Weight Assessment Ratio Analysis (SWARA) method to determine the weight of criteria in a structured manner based on expert judgment. SWARA was chosen because it systematically accommodates expert preferences through simple steps, producing more consistent and transparent weighting compared to other approaches.Five main criteria were considered: family income (C1), number of dependents (C2), physical condition of the house (C3), ownership status (C4), and occupation of the head of household (C5). The SWARA results generated the following weights: C1 = 0.288, C2 = 0.240, C3 = 0.185, C4 = 0.168, and C5 = 0.120. Data were collected from 13 respondents using a 1–4 scale questionnaire. Final scores were calculated by multiplying responses with the respective weights, yielding a maximum score of 3.160 and a minimum of 2.160. Using quantile-based classification, four eligibility categories were determined: Not Eligible, Less Eligible, Eligible, and Highly Eligible.The results showed that 3 respondents were classified as Not Eligible, 4 as Less Eligible, 3 as Eligible, and 3 as Highly Eligible. This study demonstrates that SWARA can be effectively applied in DSS to enhance the accuracy, objectivity, and transparency of RTLH beneficiary selection.
Sistem Pendukung Keputusan Penerima Bantuan Pangan Non Tunai (BPNT) Menggunakan Metode SMART Wirnama, Moh. Izhar; Fahmi, Hairul; Bagye, Wire
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.8276

Abstract

The Non-Cash Food Assistance Program (BPNT) is one of the government’s social policies aimed at improving food security for low-income households. However, the beneficiary selection process in the field is often carried out manually and subjectively, which may lead to mistargeting. This study develops a Decision Support System (DSS) model based on the Simple Multi Attribute Rating Technique (SMART) to assist village officials in objectively determining the eligibility of prospective BPNT recipients, particularly in areas not yet supported by digital technology. The assessment was conducted using five main criteria, namely income, employment status, number of dependents, housing condition, and asset ownership. Eligibility determination was carried out by setting an average threshold value (≥ 0.305), where candidates with a final score equal to or above the threshold were categorized as eligible, while those below it were deemed ineligible. The analysis results showed that out of 11 prospective recipients, four candidates with scores of A4 = 0.925, A9 = 0.900, A5 = 0.700, and A1 = 0.450 were declared eligible to receive BPNT, while the remaining seven were deemed ineligible. The application of the SMART method has proven effective in improving transparency, objectivity, and proportionality in the selection process, making it a practical guideline for village governments or social service agencies in distributing aid fairly and accurately. In the future, this manual model can be integrated into web-based or mobile applications to enhance efficiency, accuracy, and data documentation, accompanied by regular evaluations to ensure that the criteria remain relevant to the socioeconomic dynamics of the community.
Developing the Interface of HaoSpace Mood Tracking Application Using Design Thinking Saraswati, Desak Putu Mahadewi; Seputra, Ketut Agus; Dewi, Luh Joni Erawati
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.8365

Abstract

Mental health problems, particularly mood disorders, remain a major concern among adolescents and young adults, as they can affect academic performance, social interactions, and emotional well-being. Despite growing awareness, many adolescents still lack accessible tools to effectively monitor and manage their moods. The objective of this research is to design and develop a prototype of a mood tracking application called “HaoSpace” to address this gap. The research employed the Design Thinking methodology, which emphasizes a user-centered approach and involves five stages: empathize, define, ideate, prototype, and test, with participants consisting of students, workers, and a psychology expert. The resulting prototype includes features such as journaling, reminders, daily reports, and interactive visualizations in the form of graphs and mood-based calendars to facilitate self-monitoring and reflection. User testing showed positive responses regarding navigation, interface design, and feature relevance, while the psychology expert assessed the prototype as a feasible tool for self-reflection and emotional regulation among adolescents and young adults. In conclusion, HaoSpace demonstrates potential as a digital intervention to enhance mood awareness and promote mental well-being among adolescents and young adults.
Implementasi Chatbot Berbasis Aturan untuk Layanan Customer Service E-commerce pada Platform WhatsApp Ibrahim, Surya Rizky Maulana; Handayani, Dede
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.8443

Abstract

The high intensity of repetitive questions regarding product information, order status, and store policies in e-commerce businesses creates an additional workload for customer service and delays responses to customers. This research aims to implement a rule-based chatbot on the WhatsApp platform to automate customer service. The method used is the Waterfall software engineering model with stages of needs analysis, design, implementation, testing, and evaluation. The chatbot was implemented using Python integrated with WhatsApp Business API utilizing quick reply features. Functional testing results on 100 question samples show 87% accuracy. Usability testing using the System Usability Scale (SUS) on 30 users yielded a score of 78.5 (category "Good"). These results indicate that the proposed solution is effective in handling routine inquiries and can reduce customer service operational burden by 40% based on response time measurements. The main limitation lies in handling complex questions that require real-time data checking from external inventory systems.
Analisis Prediktif Harga Penutupan Harian Bitcoin Menggunakan Arsitektur Jaringan Saraf Tiruan Long Short-Term Memory Suyanti, Suyanti; Ophelia S, Chandy; Aryani, Lies
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.7485

Abstract

The highly volatile price of Bitcoin makes it difficult for financial market players. This research aims to build a Bitcoin daily closing price prediction model using Long Short-Term Memory (LSTM) neural network. Bitcoin price data from January 1, 2014 to May 9, 2025 was taken from Yahoo Finance, normalized with MinMaxScaler, and divided into 80% training data and 20% testing data. The LSTM model, which consists of two LSTM layers (50 units each) and two dense layers, was trained with Adam optimization and mean squared error loss function. The model uses the 60-day price sequence to predict the next day's price. The evaluation results show high accuracy with Root Mean Squared Error (RMSE) 105.80, Mean Squared Error (MSE) 2,822,880.74, Mean Absolute Error (MAE) 1,103.42, and R-squared (R²) 0.995. This model becomes one of the reliable prediction tools for financial decisions using historical data. This research enriches machine learning-based bitcoin price prediction solutions.
Sistem Pendukung Keputusan Pemilihan Pasta Gigi Terbaik untuk Gigi Berlubang dengan Metode PSI Widyana, Silva; Siregar, Filzah Naura; Putri, Nurma Wadda; Audi, Femy Ines; Hartama, Dedy
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.7606

Abstract

Tooth decay, or caries, is a common dental health problem that can have a serious impact on quality of life. This study aims to evaluate the effectiveness of various brands of toothpaste in the prevention and treatment of tooth decay. The methods used included analysis of active ingredients, laboratory tests, and consumer surveys. The toothpastes analyzed included products containing fluoride, calcium phosphate, and xylitol. Laboratory tests were conducted to assess each toothpaste's ability to reduce plaque, inhibit bacterial growth, and support tooth enamel remineralization. Consumer surveys collected data on user experiences and preferences. Based on the results of the analysis using the Preference Selection Index (PSI) method, it can be concluded that Pepsodent (A1) is the best alternative among the toothpaste products evaluated. Pepsodent obtained the highest preference score of 0.824, indicating that this product best suits consumer preferences and needs in addressing cavities. The results of the study show that toothpastes with high fluoride content, such as sodium fluoride and stannous fluoride, are significantly more effective in reducing the risk of caries than other products. In addition, toothpastes containing calcium phosphate show good ability to repair damaged enamel. Conversely, products marketed as “natural” are often less effective in preventing caries. This study provides important insights for consumers in choosing the right toothpaste, especially for individuals at high risk of cavities. These findings can also serve as a reference for manufacturers in developing more effective and safer products for dental health.
Penerapan Metode ORESTE dalam Menentukan Paket Internet yang Ideal di Kalangan Mahasiswa (Kasus Siantar-Simalungun) Khadafi, Farhan; Wiratama, Firman Dwi; Aryaputra, Safa; Parinduri, Syawaluddin Kadafi
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.7607

Abstract

Choosing the ideal internet package is a challenge for students in the Siantar-Simalungun region. Stable and affordable internet access is essential to support various academic activities, ranging from literature searches and assignment collection to online learning activities. When choosing an internet package, students generally consider several key factors such as price, network speed, signal strength, bonus quotas, and user satisfaction levels. This study uses the ORESTE (Organization, Rangement Et Synthèse De Données Relationnelles Extérieures) method as a multi-criteria decision-making approach to determine the most ideal internet package for students' needs. The research data was collected through a questionnaire distributed to more than 1,217 students from various educational institutions in the region. Through the calculation and analysis process using the ORESTE method, it was found that Telkomsel was the most ideal internet package choice with the lowest preference value of 1.774, which indicates the highest level of preference compared to other alternatives. The results of this study are expected to serve as a reference in helping students choose the internet package that best suits their needs, thereby increasing the efficiency of internet spending while supporting productivity and smooth academic activities with optimal internet access.
Penerapan Metode Profile Matching dalam Menentukan Sunscreen Terbaik Bagi Kulit Berminyak Berdasarkan Konsumen Zahrawani, Anggie; Husna, Auliya Ul; Agustria, Amanda; Darma, Surya
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.7609

Abstract

Exposure to ultraviolet (UV) rays from the sun can have negative effects on skin health, especially for individuals with oily skin who are prone to acne and irritation. This study aims to apply the profile matching method in determining the most suitable sunscreen for consumers with oily skin. The large number of skin care products on the market makes it difficult for consumers to choose the right product for their skin needs. This study aims to apply the profile matching method in recommending skin care products that are suitable for consumers with oily skin. The profile matching method is used to match consumer skin characteristics with skin care product specifications based on certain parameters, such as oil level, skin sensitivity, and desired effects. Data was obtained through surveys and direct testing of consumers with oily skin types. The results of the study show that the application of the profile matching method provides more suitable and satisfying product recommendations for consumers. Based on the research conducted, it was found that the best sunscreens for oily skin are, in order, Wardah with a total score of 2.045, followed by Facetology in second place with a total score of 1.991, then Azarine and The Originote with identical total scores of 1.975, and finally Skintific with a total score of 1.891. The results of this study serve as recommendations for customers.
Peramalan Penjualan Obat dengan Menggunakan Metode Single Moving Average Hidayah, Alvinatul; Barata, Mula Agung; Ardianti, Aprillia Dwi
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): Oktober 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.8256

Abstract

Luas Nusa Pharmacy faces challenges in managing drug inventory due to unpredictable demand fluctuations, often leading to overstocking or shortages. This situation affects operational efficiency and customer satisfaction. Therefore, a forecasting method is needed to help predict stock requirements more accurately. Forecasting is the process of estimating future needs based on historical data analysis, aimed at supporting decision-making in inventory management. This study employs the Single Moving Average (SMA) method to forecast drug stock at Luas Nusa Pharmacy. Weekly data from 10 best-selling drugs, namely Sanmol Tab, Andalan Biru, Promag Tab, Pirocam, Voltadex, Wiros, Tolak Angin, Stanza, Kalmethasone, and Antangin, were used as the basis for calculations over the past year. The study tested three forecasting periods: 3, 4, and 6 weeks. The results indicate that the 4-week period provides the most accurate prediction with the lowest error values: MAD of 34.80986, MSE of 1797.98, and MAPE of 13.80044, achieving an accuracy rate of 86.20%. The predicted drug stock for the following week, based on the 4-week period, is 224 units. With its high accuracy, the 4-week SMA method is recommended as an effective approach to help Luas Nusa Pharmacy manage drug inventory more efficiently. The implementation of this method is expected to minimize the risk of overstocking or shortages, improve operational efficiency, and ensure optimal service to the community.

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