cover
Contact Name
Muhammad Afief Ma'ruf
Contact Email
afief84@gmail.com
Phone
+6281803821373
Journal Mail Official
infoteknik.ftunlam@gmail.com
Editorial Address
Fakultas Teknik Universitas Lambung Mangkurat, Jl. Ahmad Yani Km. 35 Banjarbaru Kalimantan Selatan Telp. (0511)-4773868 Fax. (0511)-4773868
Location
Kota banjarmasin,
Kalimantan selatan
INDONESIA
Info-Teknik
ISSN : 08532508     EISSN : 24599964     DOI : http://dx.doi.org/10.20527
Core Subject : Engineering,
Jurnal Info – Teknik menerbitkan artikel – artikel karya orisinil dan signifikan pada Bidang Rekayasa Teknik.
Articles 437 Documents
PENAMBAHAN KARBON AKTIF SERBUK GERGAJI KAYU JATI DAN KAYU AKASIA TERHADAP FILTRATION LOSS DAN RHEOLOGI LUMPUR PEMBORAN Maykel Gratia Toding
INFO-TEKNIK Vol 27, No 1 (2026): INFOTEKNIK VOL. 27 NO. 1 JULI 2026
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/infotek.v27i1.23331

Abstract

ABSTRACK Mud is a circulating fluid commonly used during the drilling process to provide various functions. Mud rheology and filtration loss are physical properties that must be controlled because they can help control formation pressure. Controlling fluid loss is essential during drilling to maximize cutting lift, prevent kicks, and minimize mud costs. To achieve appropriate filtration loss and rheology results, additives are needed in the drilling mud. One such additive is activated carbon, an environmentally friendly adsorbent widely used in industrial companies. Teak and acacia sawdust, which are waste from cutting furniture or furniture that is rarely used, are then utilized to make activated carbon. Teak wood has a cellulose content of 40.26-43.12%, hemicellulose 27.07-31.97% and lignin 24.74-28.07%. Acacia wood has a cellulose content of 51.46% with a lignin content of 27.66%. The stages of making sawdust activated carbon include dehydration, carbonization, and activation. Then, it is added to drilling mud with a composition of 4 grams, 7 grams, and 10 grams of activated carbon to determine the filtration loss and rheology values of the drilling mud. Based on the test results, it was obtained that the values of plastic viscosity, yield point, gel strength, filtration loss, pH, mud cake, and density met the API 13A standard, but for the densities of 7 grams and 10 grams of acacia sawdust did not meet the API 13A standard. Keywords: Rheology, Filtration Loss, Activated Carbon, Teak and Acacia Sawdust.
IMPLEMENTASI CLOUD COMPUTING MENGGUNAKAN AWS ELASTIC CLOUD COMPUTE UNTUK PEMETAAN TEMPAT WISATA Sukron Hadi Maulana
INFO-TEKNIK Vol 27, No 1 (2026): INFOTEKNIK VOL. 27 NO. 1 JULI 2026
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/infotek.v27i1.24365

Abstract

Lombok Island is one of Indonesia's leading tourist destinations. West Lombok offers numerous natural attractions, including beaches, rivers, waterfalls, and more, for tourists to choose from. However, tourists often search for information about a destination online using smartphones. Search engines like Google Maps only display the location without providing a description or explanation of the tourist attraction's history. Therefore, this study will discuss the development of a tourism mapping website using cloud computing, utilizing Amazon Web Services. Some of the services used include Elastic Compute Cloud (EC2) as a web server, S3 Bucket as data storage, IAM Users as service access and security, and Relational Database Service (RDS) as the database system. The website will be developed using the Software Development Life Cycle (SDLC) methodology, which includes analysis, design, implementation, testing, and maintenance to ensure a structured and reliable system. An additional layer of security, the Snort Intrusion Detection System (IDS), will be implemented to detect potential attacks and track suspicious activity. So, this website is expected to be able to provide more interactive information in a safe and stable manner.
PREDIKSI PRODUKSI SUSU KAMBING ETAWA PADA PETERNAKAN RIDHO JAYA UNTUK MEMENUHI PERMINTAAN PASAR MENGGUNAKAN METODE SINGLE MOVING AVERAGE DAN SIMPLE LINEAR REGRESSION muhammad al abrour; Asrianda - -; Fajriana - -
INFO-TEKNIK Vol 27, No 1 (2026): INFOTEKNIK VOL. 27 NO. 1 JULI 2026
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/infotek.v27i1.24290

Abstract

Ridho Jaya Farm is a business engaged in the production of Etawa goat milk, which experiences fluctuations in production volume over time. This condition requires an accurate prediction system to ensure that the production process can be planned more efficiently and stably. This study aims to analyze and forecast the amount of Etawa goat milk production using two forecasting methods, namely Single Moving Average (SMA) and Simple Linear Regression (SLR), as well as to compare the accuracy levels between the two. The data used in this study are daily production records collected over a certain period. Based on the analysis results, the SMA method with a period of 3 was selected because it produced forecasts closest to the actual values with a relatively stable production trend. The forecasting results show that the Etawa goat milk production volume in the next period is predicted to increase from 33 liters to around 36 liters per period, indicating a positive growth potential in production. Meanwhile, the SLR method produced a regression equation of , showing a slight downward trend in the historical data pattern. Based on the comparison of Mean Absolute Percentage Error (MAPE) values, the SMA method proved to be more accurate than the SLR method in predicting Etawa goat milk production. Therefore, the application of these forecasting methods can assist Ridho Jaya Farm in estimating future production volumes and support better decision-making in production and distribution management. Keywords: Etawa goat milk production, Forecasting, Single Moving Average (SMA), Simple Linear Regression (SLR), MAPE.
Optimalisasi Arus Lalu Lintas Melalui Fasilitas U-Turn Di Persimpangan Jalan G. Obos XII Kota Palangka Raya Rika Rika
INFO-TEKNIK Vol 27, No 1 (2026): INFOTEKNIK VOL. 27 NO. 1 JULI 2026
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/infotek.v27i1.24633

Abstract

U-Turn in front of the Darussalam Grand Mosque, Palangka Raya City, Central Kalimantan Province, is an arterial road with a relatively high traffic volume. The road is equipped with a median and 14 U-Turns. Observations show that vehicles often face delays or queues and have to perform additional maneuvers to complete the U-Turn movement smoothly, leading to disruptions in safety and driving comfort. The purpose of this study is to determine the performance of U-Turn on traffic flow and capacity using the 2023 Indonesian Road Capacity Guidelines (PKJI), the 2005 U-Turn Planning Guidelines, and simulations with PTV Vissim Software. The results showed that the degree of saturation (Dj) was 0.44 in the direction of the Small Roundabout and 0.58 in the direction of Mahir Mahar. The average travel time for the latest U-Turn is 12.64 seconds to the Small Roundabout (queue 28 meters) and 6.66 seconds to Mahir Mahar (queue length of 36 meters). The recommendation proposes a change of location by closing U-Turn point 1, so that the total distance of the U-Turn is 645 m, which is predicted to reduce the queue length to 10.5 meters (in the direction of the Small Roundabout) and 10.4 meters (in the direction of Mahir Mahar).
ANALISIS PERBANDINGAN IMPLEMENTASI SISTEM KONTROL PENCAHAYAAN OTOMATIS BERBASIS CAHAYA ALAMI MENGGUNAKAN MATLAB CODING DAN SIMULINK Amelda Amartha; Desmira Desmira; Marsela Triana
INFO-TEKNIK Vol 27, No 1 (2026): INFOTEKNIK VOL. 27 NO. 1 JULI 2026
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/infotek.v27i1.24690

Abstract

Sistem kontrol pencahayaan otomatis berfungsi penting untuk menjaga kenyamanan visual sekaligus menekan konsumsi energi listrik. Penelitian ini mengembangkan sebuah sistem yang mampu mengatur intensitas penerangan dalam ruangan secara otomatis sesuai perubahan cahaya alami. Sensor cahaya, seperti LDR atau sensor lux, digunakan untuk memantau tingkat iluminansi di sekitar, kemudian datanya diolah menggunakan algoritma kontrol proporsional–integral (PI) agar lampu dapat menyesuaikan nyala secara dinamis sesuai kebutuhan pencahayaan yang diinginkan. Proses pengujian sistem dilakukan melalui simulasi pada MATLAB/Simulink untuk menilai respons kontrol terhadap variasi cahaya alami dalam berbagai kondisi. Selain itu, dilakukan perbandingan antara penggunaan Simulink berbasis blok diagram dan pemodelan melalui coding di MATLAB/Simulink. Simulasi menggunakan blok Simulink memberikan visualisasi yang lebih intuitif, memudahkan identifikasi alur sinyal, serta mempercepat proses perancangan karena setiap komponen dapat disusun secara grafis. Sementara itu, simulasi melalui coding menawarkan fleksibilitas tinggi dalam pengaturan parameter, lebih mudah untuk dimodifikasi, dan memungkinkan integrasi konsep atau logika kontrol yang lebih kompleks tanpa perlu banyak blok grafis. Hasil simulasi menunjukkan bahwa sistem yang dikembangkan mampu menjaga pencahayaan tetap stabil, memberikan respons yang cepat terhadap perubahan cahaya lingkungan, serta menghasilkan kesalahan pengaturan yang sangat kecil. Temuan tersebut mengindikasikan bahwa sistem kontrol ini memiliki potensi besar untuk diterapkan pada ruang kerja maupun ruang belajar guna meningkatkan efisiensi energi serta kenyamanan pengguna.
SIMULASI SENSOR FOTODIODA PADA SISTEM LAMPU OTOMATIS BERBASIS ARDUINO putri nazwa meylani; Desmira Desmira; Nurma Lestari; Muhammad Rivaldan; Reva Lina Putri Septiani; M elan Maulana
INFO-TEKNIK Vol 27, No 1 (2026): INFOTEKNIK VOL. 27 NO. 1 JULI 2026
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/infotek.v27i1.24887

Abstract

This study discusses the design and simulation of an automatic lighting system based on a photodiode sensor using an Arduino Uno microcontroller as the main controller. The system is designed to detect changes in ambient light intensity and automatically control the lamp without human intervention. The photodiode sensor is used as a light detector that converts light energy into an analog electrical signal, which is then processed by the Arduino to determine bright or dark conditions. The output from the Arduino subsequently controls a relay module that functions as an electronic switch to connect or disconnect the current to the light bulb. The research method employed is an experimental approach, which includes system planning, hardware design, software programming, simulation using Proteus, and system performance testing. The simulation results indicate that the system operates as expected, where the lamp automatically turns on when the light intensity decreases and turns off when the ambient brightness increases. This system is expected to improve electrical energy efficiency and provide ease of operation for lighting control, particularly in public facilitiesand workplace environments.
ANALISIS PENGENDALIAN KUALITAS WINE MENGGUNAKAN X̄–R CONTROL CHART Carles Syahputra Hulu; Nia Rizkita Tambunan; Togi Supriadi Supriadi Sianturi; Zulkhairi Zulkhairi Zulkhairi
INFO-TEKNIK Vol 27, No 1 (2026): INFOTEKNIK VOL. 27 NO. 1 JULI 2026
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/infotek.v27i1.25815

Abstract

Quality control is a critical aspect of the production process to ensure that the resulting products meet established standards. In the wine industry, quality is significantly influenced by chemical parameters such as pH, density, and alcohol content. This study aims to analyze the stability and consistency of these parameters using the X̄–R Control Chart method. The research utilizes secondary data from the Kaggle dataset, which contains physicochemical characteristics of wine. The methodology involves grouping data into subgroups, calculating control limits using statistical constants, and plotting the results to evaluate process conditions. The results indicate that the X̄–R Control Chart is effective in monitoring process changes over time, allowing for early detection of variations that could affect product quality. Parameters such as pH, density, and alcohol content show specific patterns that reflect the stability of the fermentation and production processes. By implementing this method, producers can maintain product consistency and take corrective actions before the product fails to meet specifications. Thus, the application of Statistical Quality Control (SQC) provides an objective and efficient approach to ensuring high-quality wine production.

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