cover
Contact Name
Raden Herdian Bayu Ash Siddiq
Contact Email
jitter@widyatama.ac.id
Phone
+62227275855
Journal Mail Official
jitter@widyatama.ac.id
Editorial Address
Jl. Cikutra no 204 A Bandung
Location
Kota bandung,
Jawa barat
INDONESIA
JITTER (Jurnal Ilmiah Teknologi Informasi Terapan)
Published by Universitas Widyatama
Jurnal Ilmiah Teknologi Informasi Terapan (JITTER) adalah jurnal ilmiah yang diterbitkan oleh Universitas Widyatama, Bandung. Jurnal ini diterbitkan sebagai wahana sosialisasi dan diseminasi hasil penelitian bagi kalangan akademisi maupun masyarakat luas, pada bidang teknologi informasi dan terapannya. Bidang kajian dicakup meliputi sistem informasi, ilmu komputer, jaringan komputer, basis data, kecerdasan buatan, juga beberapa bidang teknik lainnya seperti Teknik Sipil, Teknik Mesin, Teknik Elektro dan Teknik Industri.
Articles 6 Documents
Search results for , issue "Vol. 12 No. 2 (2026)" : 6 Documents clear
INOVASI DIGITALISASI K3 DENGAN BIM 8D Kartika Hapsari; Ariya Fawwas Hawari
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 2 (2026)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss2.2026.3032

Abstract

The use of Building Information Modeling (BIM) has proven to be highly beneficial for construction service providers in project planning and execution, including in the control of Occupational Health and Safety (OHS) risks. However, the adoption of BIM technology for OHS management is still uneven across construction companies, as seen in the BSD Grand Mosque Project. This research aims to develop an OHS risk control model using 4D BIM for the BSD Grand Mosque Project and to identify its advantages and shortcomings. The novelty of this study lies in the innovative development of on-site OHS monitoring through BIM visualization integration, as well as in-depth analysis of expert and worker perceptions regarding the effectiveness of BIM models for OHS. The research methods involve the creation of a 4D BIM model, innovation in BIM-based OHS risk control, and evaluation through interviews and questionnaires. The results show that the developed model is highly effective in hazard identification, risk visualization, accurate control planning, material arrangement, and on-site OHS monitoring. Nevertheless, there are shortcomings in the specification features of OHS equipment, which are not yet optimal and require further development, and many workers still lack a full understanding of BIM modeling.
Rancang Bangun dan Implementasi Energy Monitoring System di Sekolah Darul Hikam Ayu Laksmi Padmadewi; Mugni Labib Edypoerwa; Umar Hanif Ramadhani; Yadi Mulyadi; Bambang Trisno
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 2 (2026)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss2.2026.3183

Abstract

The use of electrical energy in educational institutions continues to increase in line with the growing need for facilities and infrastructure. However, the absence of a proper monitoring system makes it difficult to evaluate energy consumption in real time. This study designs and implements an Energy Monitoring System (EMS) based on the PZEM-004T sensor at Darul Hikam School. The system records electrical parameters including voltage, current, power, energy, frequency, and power factor. All data are stored on an online server and can be accessed in real time through a web-based dashboard. Test results show that the system is capable of recording an average voltage of 218–228 V, current in the range of 0–20 A, and a peak load of up to 4300 W. With the implementation of EMS, the school is able to identify energy consumption patterns, detect inefficient loads, and develop effective saving strategies. The system has proven to be reliable as an energy monitoring solution in educational environments.
PEMANFAATAN FLY ASH DAN LIMBAH BAJA SEBAGAI BAHAN ALTERNATIF PANEL DINDING Lilis Tiyani; Sukarman; Nunung Martina
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 2 (2026)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss2.2026.3222

Abstract

This study aims to evaluate the effect of steel waste addition on the mechanical properties of fly ash-based wall panels as part of developing environmentally friendly construction materials. The main materials used include sand, fly ash, sodium silicate (Na₂SiO₃) solution, sodium hydroxide (NaOH) solution, and steel waste. The manufacturing process involved preparing the activator, mixing dry materials (sand, fly ash, and steel waste), gradually adding the activator, molding, and curing under moist conditions. The test results showed that panels containing steel waste achieved a compressive strength of 15.91 MPa, an increase of 22% compared to panels without steel waste (13.04 MPa). The flexural strength of panels with steel waste reached 4.93 MPa, an increase of 64% compared to those without (3.01 MPa). The strength enhancement is attributed to the role of steel waste particles as micro-reinforcement, which improves the microstructure, increases density, and prevents crack propagation. Therefore, incorporating steel waste into fly ash-based wall panels effectively enhances mechanical performance while supporting the development of sustainable building materials.
METODA PENJADWALAN DAN PERAMALAN UNTUK PRODUKSI PADA USAHA HOME INDUSTRI Miftahu Babil Yasari Babil; Jatmiko Agung Nugroho; BY. Rahadi Meta Tri Sulaksana
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 2 (2026)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss2.2026.3276

Abstract

The need for additional food (snacks) determines a person's choice of consumption. Cassava chips are a snack that contains a source of energy from complex carbohydrates, fiber for digestion, and antioxidants such as vitamin C and beta-carotene that protect the body. A home industry makes cassava chips using a simple method, namely only washing, slicing, frying, slicing, and wrapping without using production scheduling and forecasting methods. This results in inconsistent production quantities. This condition also creates excess and shortages in production results that impact on not meeting consumer desires. This study aims to provide input to home businesses by using sequencing methods, namely short processing time (SPT) for scheduling and moving averages for production forecasting, to obtain scheduling and forecasting results that will serve as references in the cassava chip manufacturing process. From the data owned by this home industry, both quantitative and qualitative data, results are obtained that can be used as references. The results of the two methods are the average work time is 60 minutes, Job utilization with the shortest processing time is 35.8%, the average job in the system is 2.79 jobs or rounded to 3 jobs, the average job delay is 48.5 minutes or rounded to 49 minutes. Meanwhile, the amount to be made (processed) is adjusted from the calculation of the available data forecast, so that from this we get the amount that can be used as a reference in its implementation.
PENERAPAN CONVOLUTIONAL NEURAL NETWORK UNTUK PENGENALAN BAHASA ISYARAT INDONESIA: STUDI KASUS DAN TINJAUAN FILSAFAT SAINS Hernalom Sitorus; Ucu Nugraha; Sri Titi Handayani; Agus Nursikuwagus; Usep Mohamad Ishaq; Andrias Darmayadi
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 2 (2026)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss2.2026.3448

Abstract

The low literacy of Indonesian Sign Language (BISINDO) in the general public remains a barrier to communication with the Deaf community, while research on AI-based sign language recognition generally focuses solely on technical achievements. This study aims to develop a BISINDO alphabet recognition system based on Convolutional Neural Network (CNN) and evaluate it through a philosophy of science perspective. The methods used include collecting a BISINDO alphabet hand image dataset, data augmentation, and transfer learning-based CNN training with the MobileNetV2 architecture and a stepwise training scheme, then deployed to Android using TensorFlow Lite. Test results show the system is able to achieve an accuracy of around 93% on controlled test data with stable real-time inference performance. The scientific contribution of this research is not only in the development of applied AI systems, but also in providing a reflective ontological, epistemological, and axiological framework to assess the validity and social implications of BISINDO recognition technology.
ANALISIS PENGARUH KOLAM RETENSI DAN TATA GUNA LAHAN TERHADAP REDUKSI LIMPASAN DI SUNGAI PERKOTAAN: (STUDI KASUS KOLAM RETENSI PASIRKALIKI DI DAS SUNGAI CILEMBER, KOTA CIMAHI, JAWA BARAT) Zulfian Azhari
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 2 (2026)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss2.2026.3480

Abstract

Changes in land use and increasing rainfall intensity in the Cilember River Sub-Watershed have reduced the performance of the Pasirkaliki Retention Pond design prepared in the 2020 Detailed Engineering Design (DED), necessitating a reassessment using updated land-use and rainfall data. This study was conducted through hydrologic–hydraulic simulations based on recent rainfall and land-use data, combined with the evaluation of several retention pond optimization scenarios. Under the original design, the retention pond was able to reduce downstream river water levels by 15–20 cm. However, simulation results indicate that the pond can only reduce the peak flood discharge by 1.4 m³/s, with a downstream water level reduction of 6–20 cm for the 2-year return period discharge (Q₂). Various optimization alternatives were tested to improve flood control performance. The most effective alternative is the addition of a retention pond in the upstream area of the Cilember River watershed, achieving a peak discharge reduction of 10.7 m³/s (54.3%) for Q₂ and a downstream water level reduction of 58–98 cm. Projections of land-use and rainfall changes for the next 5, 15, and 25 years indicate a generally linear increase in flood discharge. Under these conditions, the additional upstream retention pond remains capable of accommodating the Q₂ flood, although runoff reduction efficiency gradually declines.

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