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All Journal JOURNAL ONLINE OF PHYSICS Jurnal Dinamika Informatika (JDI) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Jurnal Publikasi Ilmu Komputer dan Multimedia JTH: Journal of Technology and Health
Tri Hastono
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Computer Science & IT Health Professions Medicine & Pharmacology Nursing Physics Social Sciences Other

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Weekly Tofu Stock Prediction with Mamdani Fuzzy Method Nanda Aiken El Islamy; Tri Hastono; Adhitya Chandra Wibowo
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol 3 No 1 (2024): Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v3i1.2584

Abstract

This research aims to predict weekly tofu stock using the Mamdani Fuzzy Method. This method is used to overcome the uncertainty and complexity in estimating tofu stock, which is influenced by various factors such as inventory, ingredients, and ingredient prices. By applying fuzzy logic to describe the uncertainty in the data, this model can provide more accurate stock predictions. This research involves collecting weekly tofu stock data from a specific time period and developing a fuzzy inference system based on relevant input variables. Experimental results and model validation show that the Mamdani Fuzzy Method can be an effective approach to predict weekly tofu stocks with satisfactory accuracy. The practical implications of this research can assist the tofu industry in optimizing inventory management and responding more appropriately to fluctuations in market demand.
A Furniture Sales Profit Using the Tsukamoto Method Dzakwan Adib; ADAM, ADAM TAUFFIQURRAHMAN; Tri Hastono; Diky Setiawa
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol 3 No 1 (2024): Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v3i1.2633

Abstract

Abstract. Optimal profit can be achieved through maximum sales results with minimal costs. Besides meeting market demand, cost utilization is also a crucial factor in determining optimal outcomes (Muflikhudin 2021). To address the challenges faced by the discount store in Sampit, several necessary steps should be taken. These include analyzing customer demand data by having the store owner pay attention to frequently requested items. Additionally, enhancing product availability by increasing inventory levels and implementing more effective inventory management systems through various methods to prepare product stocks (Beu and Husna 2019). The aim of this research is to predict revenue for a specific period based on sales turnover (Rahmawati, Rahima Dina, and Wartono 2020).
Prediksi Produksi Bawang Merah di Kota Yogyakarta menggunakan Metode Fuzzy Mamdani Zaky Noer Jati; Tri Hastono; Ferdi Andrian
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol 3 No 1 (2024): Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v3i1.2635

Abstract

This study discusses the prediction of shallot production in Yogyakarta City using the Fuzzy Mamdani method. The research is important due to the impact of shallot production fluctuations on the national economy. The Fuzzy Mamdani method was chosen for its high level of flexibility and tolerance for existing data. Data was collected from Bappeda DIY and shallot farmers to build the prediction model. The prediction implementation was carried out using Matlab R2015a with Fuzzy Logic Matlab Toolbox. The prediction results were evaluated using the RMSE value. The study concludes that the Fuzzy Mamdani method can be used for predicting shallot production with an error rate of 14.11%. However, the study suggests a review of the data used in the prediction to ensure its accuracy. Several references used in the study are also included.
Pelatihan Pemanfaatan Google Classrom Sebagai Media E-Learning Sekolah Tri Hastono; Ari Kusuma Wardana; Firdiyan Syah; Gunawan Gunawan; Ramdan Harjana
Nusantara: Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 1 (2021): Februari: Jurnal Pengabdian Kepada Masyarakat
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (256.379 KB) | DOI: 10.55606/nusantara.v1i1.237

Abstract

The use of information technology in the world of education looks better. With the ease of getting this information, cases of parents who do not know the status of their children's education are increasingly rare. The use of technology in the world of education in teaching and learning activities cannot be done by one party alone. It takes the involvement of all, especially teachers and students. If you look at the age of the teachers, of course, not a few of them can be considered old. This is what makes not a few of the teachers still rigid with technology. But it's a different story with today's school students. The year of birth of school students is currently in the generation Z category, where technology is their lifestyle. The method of transferring knowledge from teachers to students must be changed so that knowledge can be well absorbed by students. This community service aims to provide training on the use of Google Classroom as one of the school's e-learning at SMP N 2 Kasihan.
PELATIHAN E-COMMERSE PADA KELOMPOK WANITA TANI RUKUN SARI, MALANGAN, SRIGADING, BANTUL Tri Hastono; Purnama, Bayu Gilang; Widyawarman, Danang; Pambudi, Brevi Istu
Jurnal Widya Laksmi: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2025): Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) - Inpress
Publisher : Yayasan Lavandaia Dharma Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59458/jwl.v5i1.119

Abstract

Pengabdian kepada masyarakat ini dilaksanakan di Kelompok Wanita Tani (KWT) Rukunsari, Malangan, Sanden, Bantul, dengan tujuan untuk meningkatkan pengetahuan anggota mengenai strategi penjualan online serta menciptakan toko online yang mendukung pemasaran produk jahe instan. Masalah utama yang dihadapi oleh KWT Rukunsari adalah terbatasnya metode pemasaran yang hanya melalui status WhatsApp, yang menyebabkan jangkauan pasar menjadi sangat terbatas. Metode pelaksanaan kegiatan ini dilakukan melalui pelatihan e-commerce. Pelatihan meliputi pengenalan platform online untuk penjualan, pembuatan toko online, dan cara meningkatkan visibilitas produk melalui media sosial serta platform e-commerce. Pendekatan partisipatif digunakan selama pelatihan, sehingga anggota KWT dapat langsung mempraktikkan pembuatan akun dan toko online. Hasil kegiatan menunjukkan peningkatan pengetahuan dan keterampilan anggota dalam strategi pemasaran online. Selain itu, KWT berhasil menciptakan toko online untuk memasarkan produk jahe instan mereka, yang diharapkan dapat meningkatkan penjualan dan memperluas jangkauan pasar mereka. Dengan adanya toko online ini, produk jahe instan KWT Rukunsari kini lebih mudah diakses oleh konsumen di luar lingkup lokal.
APPLICATION OF FUZZY LOGIC OF THE SUGENO METHOD TO DETERMINE THE AMOUNT OF PRODUCTION OF DRY POTATO SAMBAL Ayup Panjaitan Wicaksana; Tri Hastono; Mirna Septianingrum Solikhah
JTH: Journal of Technology and Health Vol. 2 No. 1 (2024): July: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.v2i1.121

Abstract

Home industry has become the primary choice in the entrepreneurial world. One example of a home industry is Putro Prasojo's dried cassava chili paste. In the realm of production, this capability involves the skill of planning or determining the production volume. The goal is to ensure that market demand is met accurately while also considering inventory levels to achieve maximum profit. Several factors are considered in determining the production volume, involving an evaluation of the existing inventory and consideration of the demand levels. Facing these challenges, determining the right production volume to meet consumer demand requires alternatives. Applying the Sugeno Fuzzy Method using the MATLAB toolbox. This research is expected to establish an optimal production design. The Sugeno Fuzzy Logic Method used to determine the production volume of Putro Prasojo's dried cassava chili paste based on inventory and demand data can be an effective decision-making tool for the company. This method provides truth values to the decisions made, with a truth value reaching 82.787%.
MOTO BELONG LOSJOYO PRODUCTION QUANTITY PREDICTION SYSTEM USING THE WEB BASED FUZZY TSUKAMOTO METHOD Anjas, Anjas Ari Irawan; Tri Hastono; Fahmi Azkarizal Astrian
JTH: Journal of Technology and Health Vol. 1 No. 3 (2024): January: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.v2i1.125

Abstract

The Moto Belong Losjoyo factory currently still relies on estimates of production quantities without clear calculations and has not utilized computer technology to process production calculation data. Therefore, the use of the web-based Tsukamoto fuzzy method calculation system is expected to reduce losses due to mismatches in production quantities with market share. This research aims to help the Moto Belong Losjoyo factory in estimating daily production quantities in accordance with market needs. The test results using the Mean Absolute Percentage Error (MAPE) have shown that the system calculation accuracy level is 93.91%, with an error value of 6.09, confirming that the interpretation of the MAPE value shows a high level of accuracy.
SENTIMENT ANALYSIS OF COFFEE SHOP REVIEWS USING RANDOM FOREST CLASSIFIER METHOD Berliana Nur Isnayni; Nurirwan Saputra; Tri Hastono
JTH: Journal of Technology and Health Vol. 1 No. 4 (2024): April: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.v2i2.152

Abstract

A Coffee shop is a place that serves drinks made from processed coffee grains, various drinks and various snacks to accompany coffee to consumers. Coffee shop reviews can help owners to find out how the community responds to the coffee shop and its services. The data used in this study was 2000 data taken on the old Google Maps Kopi Ampirono by sraping data using Instant Data Sraper. From the abundance of review data, it takes a long time to fully understand the polarity of positive, negative, and neutral reviews manually. Because of this, an accurate sentiment analysis model is needed to classify customer reviews into positive, negative, or neutral reviews. In this study, sentiment analysis used coffee shop reviews using the Random Forest Classifier method. The Preprocessing stage involves the process of case folding, tokenization, stopword removal and stemming. The results of this study are coffee shop reviews of the Random Forest Classifier method classification with an accuracy rate of 79% and a Precision value of 81%, Recall of 97% and while the F1 Score of 88%.
DATA SECURITY STRATEGY BASED ON STORED PROGRAMS: A CASE STUDY OF DSS FOR TEACHING ASSISTANT SELECTION Ciptadi, Prahenusa Wahyu; Tri Hastono; Kharismajati, Gema; Syah, Firdiyan; Fahriza, Nayaka Anung
JTH: Journal of Technology and Health Vol. 2 No. 1 (2024): July: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.v2i3.371

Abstract

Data security is becoming increasingly crucial in information system management, especially in academic environments that handle sensitive information. The reliance on digital systems demands the protection of data integrity, confidentiality, and availability. High-level data security is also required in the Decision Support System (DSS) application for selecting Teaching Assistants at Universitas PGRI Yogyakarta. The DSS helps determine candidates based on GPA, experience, and skills. However, this system is vulnerable to threats such as unauthorized data modifications, access abuse, SQL Injection, and cyber-attacks that can impact decision-making. Stored Programs in databases provide an effective solution to enhance data security. This research aims to design Stored Programs as a security strategy for data input into database tables. The types of Stored Programs designed in this study include Stored Procedures, Functions, and control programs. The design methodology for the Stored Programs follows the waterfall method. The test results indicate that the Stored Programs function as expected and execute in a very short time. The execution of Stored Programs takes only 0.0059 seconds.
DATA SECURITY STRATEGY BASED ON STORED PROGRAMS: A CASE STUDY OF DSS FOR TEACHING ASSISTANT SELECTION Prahenusa Wahyu Ciptadi; Tri Hastono; Gema Kharismajati; Firdiyan Syah; Nayaka Anung Fahriza
JTH: Journal of Technology and Health Vol. 3 No. 2 (2025): October: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.v3i2.365

Abstract

Data security is increasingly crucial in managing information systems, especially in academic environments handling sensitive data. The reliance on digital systems demands protection of data integrity, confidentiality, and availability. Educational institutions must secure student, faculty, and administrative data to prevent unauthorized access and manipulation. One system requiring high security is the Decision Support System (DSS) for Teaching Assistant selection. DSS helps determine candidates based on GPA, experience, and skills. However, it is vulnerable to unauthorized data changes, access abuse, SQL Injection, and cyber threats that may affect decision accuracy. Stored Programs in databases provide an effective solution for enhancing data security. With Stored Procedures, Functions, Triggers, and Events, data management becomes more secure and structured. These features enable stricter access control, database operation automation, and direct validation to reduce errors and misuse. In the DSS case study, Stored Programs ensure that only authorized users can access and modify data. Authentication and authorization mechanisms restrict access based on user roles. This study analyzes security risks, system architecture design, Stored Program implementation, and its effectiveness in maintaining data integrity. Research results confirm that the developed Stored Programs meet expectations. The CRUD feature operates optimally with a processing time of 0.0059 seconds.
Co-Authors Abdul Rohman ADAM, ADAM TAUFFIQURRAHMAN Adhitya Chandra Wibowo Adikka Yudha Bintang Ramadan Andri Prisda Tyaka Anjas, Anjas Ari Irawan Ari Kusuma Wardana Ayup Panjaitan Wicaksana Berliana Nur Isnayni Binurilfatikhah, Barikna Ciptadi, Prahenusa Wahyu Diky Setiawa Dimas Maulana Hakim Dzakwan Adib Fahmi Azkarizal Astrian Fahriza, Nayaka Anung Ferdi Andrian Firdiyan Syah Galih Yudhistira Gema Kharismajati Gunawan Gunawan Gunawan, Riyan Fahmi Kharismajati, Gema Mirna Septianingrum Solikhah Nanda Aiken El Islamy Nayaka Anung Fahriza Nurirwan Saputra Pambudi, Brevi Istu Pika Aliya Widiastuti Prahenusa Wahyu Ciptadi Purnama, Bayu Gilang Rahyuni Rama Sona Ramdan Harjana Sefti Rohana Sunggito Oyama Syah, Firdiyan Tyas Sulistyawati Widyawarman, Danang Widyawarman, Danang Wisnu Setiawan Yanuar Arifia Ranggana Zaky Noer Jati