Article Per Year (5 Year)
p-Index From 2020 - 2025
2.177
P-Index
This Author published in this journals
All Journal Journal of Economics, Business, & Accountancy Ventura Prosiding SNATIF PROtek : Jurnal Ilmiah Teknik Elektro Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal RESISTOR (Rekayasa Sistem Komputer) J-SAKTI (Jurnal Sains Komputer dan Informatika) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Qua Teknika Building of Informatics, Technology and Science Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) J-SAKTI (Jurnal Sains Komputer dan Informatika) Journal of Applied Mechanical Engineering and Renewable Energy (JAMERE)
Abdul Rakhman
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

Published : 17 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 17 Documents
Search

 1   2 
RANCANG DAN IMPLEMENTASI PATTERN RECOGNITION PADA GARIS TELAPAK TANGAN UNTUK AKSES KEAMANAN PINTU Rafika, Mutia; Rakhman, Abdul; Endri, Jon
Prosiding SNATIF 2017: Prosiding Seminar Nasional Teknologi dan informatika (BUKU 1)
Publisher : Prosiding SNATIF

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

AbstrakBiometrik merupakan ilmu yang membahas mengenai pengenalan identitas seseorang. Pengenalan seseorang dapat dilakukan melalui media suara, gambar, dan tulisan. Banyak sekali teknologi yang membutuhkan informasi otentik mengenai identitas seseorang. Telapak tangan merupakan biometrika yang masih relatif baru bila dibandingkan dengan sistem biometrika seperti wajah maupun sidik jari. Tekstur telapak tangan merupakan hal unik dan berbeda yang dimiliki oleh setiap manusia. Penelitian ini bertujuan mengimplementasikan citra telapak tangan untuk dapat diidentifikasi dengan memanfaatkan metode Image Proccessing dengan bantuan Software Visual Studio 2010 sebagai system identifikasi pengenalan garis telapak tangan(Pattern Recognition), dan perangkat keras sebagai penerima keluaran dari sistem identifikasi perangkat lunak dan menerjemahkannya sebagai akses untuk membuka pintu. Penulis memasukkan 10 citra Telapak tangan yang berbeda, dimana 1citra telapak tangan seseorang disimpan dalam database masing-masing 10 gambar sebagai citra latih. Program mampu melakukan proses klasifikasi sebanyak 8 data dari 10 data uji, sehingga presentase keberhasilannya adalah 80% Kata kunci: Biometrik, keamanan, Image Proccesing, Pattern Recognition 
PENGAMAN RUMAH DENGAN SISTEM FACE RECOGNITION SECARA REAL TIME MENGGUNAKAN METODE PRINCIPAL COMPONENT ANALYSIS Monika, Sinar; Rakhman, Abdul; Lindawati, Lindawati
Prosiding SNATIF 2017: Prosiding Seminar Nasional Teknologi dan informatika (BUKU 1)
Publisher : Prosiding SNATIF

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

 AbstrakRumah pada hakikatnya merupakan tempat kita berlindung sekaligus menjadi tempat untuk menyimpan barang-barang berharga terutama nyawa. Pengaman rumah yang lebih canggih sangat diperlukan agar tidak terjadi tindak kejahatan yang tidak kita inginkan. Di implementasikan pada pengaman pintu dengan sistem Face Recognition atau pengenalan wajah, karena wajah adalah salah satu bentuk fisiologis yang paling mudah digunakan untuk membedakan  identitas antar individu. Di proses dengan memasukkan citra yang sesuai dari 6 orang penghuni rumah untuk setiap satu orang memiliki 30 database citra yang diambil melalui kamera webcam dari sisi depan wajah tanpa menggunakan aksesoris. Dari database wajah tersebut lalu dilakukan pengujian yang berbasis real time objek masukannya berupa objek 3D yang diambil menggunakan kamera webcam karena mempunyai variabel yang sangat besar untuk melakukan transformasi dilakukan reduksi dimensi supaya menghasilkan variabel yang lebih rendah dan mudah untuk diobsevasi dengan menggunakan metode Principal Component Analysis yang juga dikenal dengan metode eigenfaces yang telah dikembangkan dengan menggunakan Software Visual Studio 2015 agar mendapatkan hasil yang sesuai dengan database secara realtime. Persentase keberhasilan dalam percobaan ini mencapai nilai akurasi lebih dari 88%. Persentase keberhasilan tergantung dengan pencahayaan, serta faktor gambar yang dilakukan saat proses pengolahan citra, ekspresi dari wajah, dan sudut pengambilan gambar.  Kata Kunci: Eigenface, Face Recognition, PCA, Visual Studio 2015
PENGAMAN RUMAH DENGAN SISTEM FACE RECOGNITION SECARA REAL TIME MENGGUNAKAN METODE PRINCIPAL COMPONENT ANALYSIS Monika, Sinar; Rakhman, Abdul; Lindawati, Lindawati
Prosiding SNATIF 2017: Prosiding Seminar Nasional Teknologi dan informatika (BUKU 1)
Publisher : Prosiding SNATIF

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

 AbstrakRumah pada hakikatnya merupakan tempat kita berlindung sekaligus menjadi tempat untuk menyimpan barang-barang berharga terutama nyawa. Pengaman rumah yang lebih canggih sangat diperlukan agar tidak terjadi tindak kejahatan yang tidak kita inginkan. Di implementasikan pada pengaman pintu dengan sistem Face Recognition atau pengenalan wajah, karena wajah adalah salah satu bentuk fisiologis yang paling mudah digunakan untuk membedakan  identitas antar individu. Di proses dengan memasukkan citra yang sesuai dari 6 orang penghuni rumah untuk setiap satu orang memiliki 30 database citra yang diambil melalui kamera webcam dari sisi depan wajah tanpa menggunakan aksesoris. Dari database wajah tersebut lalu dilakukan pengujian yang berbasis real time objek masukannya berupa objek 3D yang diambil menggunakan kamera webcam karena mempunyai variabel yang sangat besar untuk melakukan transformasi dilakukan reduksi dimensi supaya menghasilkan variabel yang lebih rendah dan mudah untuk diobsevasi dengan menggunakan metode Principal Component Analysis yang juga dikenal dengan metode eigenfaces yang telah dikembangkan dengan menggunakan Software Visual Studio 2015 agar mendapatkan hasil yang sesuai dengan database secara realtime. Persentase keberhasilan dalam percobaan ini mencapai nilai akurasi lebih dari 88%. Persentase keberhasilan tergantung dengan pencahayaan, serta faktor gambar yang dilakukan saat proses pengolahan citra, ekspresi dari wajah, dan sudut pengambilan gambar.  Kata Kunci: Eigenface, Face Recognition, PCA, Visual Studio 2015
FINANCIAL DISCIPLINE: A SURVEY OF ENTREPRENEURS PERSPECTIVES IN SOUTH SULAWESI Abdul Rakhman
Journal of Economics, Business, & Accountancy Ventura Vol 14, No 2 (2011): August 2011
Publisher : STIE Perbanas Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v14i2.2

Abstract

This article emphasizes on exploring a variety way of South Sulawesis entrepreneurs to im- plement financial discipline in organizing their businesses appropriately. In addition, this research attempts to investigate factors which need to be considered by entrepreneurs to achieve financial discipline. It was conducted in South Sulawesi with 250 respondents. The data were collected and analyzed by using structured Equation Modeling. The participants responses indicate that most of entrepreneurs intent to practice financial management and consider financial commitment in their effort in order to achieve financial discipline. The findings show that capability of entrepreneurs and their individual characteristics have af- fected financial commitment and financial discipline but it does not affect intention to prac- tice financial management. The role of government only affects financial commitment signifi- cantly but it does not affect intention to practice financial management and financial disci- pline. Environment influences, significantly, the intention to practice financial management and financial commitment but it did not affected financial discipline. Furthermore, leader- ship affects, significantly, the financial commitment, intention to practice financial manage- ment and financial discipline. Last of all, financial commitment also affects intention to prac- tice financial management but it does not affect financial discipline, whereas intention to practice financial management affects financial discipline
DETERMINATION OF EXPORT VOLUME AND HEDGING STRATEGY: A SURVEY OF EXPORTERS TRANSACTION AT THE MAKASSAR INDUSTRIAL ESTATE (KIMA) Abdul Rakhman
Journal of Economics, Business, & Accountancy Ventura Vol 15, No 3 (2012): December 2012
Publisher : STIE Perbanas Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v15i3.109

Abstract

The study aims to determine factors which influence the export volume of leading commodities in SouthSulawesi and investigate which hedging strategy has been implemented by the exporters. The survey wasundertaken for 13 managers arranging 250 sales contracts in thirteen companies. They were asked todescribe what type of hedging strategy was implemented in protecting their revenue with US dollar asdenominated currency to their contract. Several literatures suggested that hedging strategy needs to consistof hedging theory, but in South Sulawesi, the international traders belief is in pragmatism way byrelying on money market instrument especially for interest rate orientation. Although export import activitiesfor cocoa, cement, lobster, seaweed, box and marbles used US$ for denomination, the respondentswere aware of Rupiah fluctuation to foreign currency which also bears transaction exposure. Multipleregression analysis was used to determine variables which affected the volume and export, while hedgingstrategy was identified using qualitative approach. It was found that the increase on cost of hedging, inflationreferences and interest rate references affected significantly the increase of the export volume, whilethe increase of US$ spot rate to Indonesian Rupiah did not significantly affect in reducing export volume.Most of exporters rely on hedging in money market, long forward contract to protect their transactions.
Perancangan Sistem Keamanan Pintar Kamera Night Vision Auto Color berbasis Raspberry PI Meutia Deli Rachmawati; Abdul Rakhman; Ade Silvia Handayani
Jurnal Qua Teknika Vol 11 No 2 (2021): September 2021
Publisher : Universitas Islam Balitar Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/quateknika.v11i2.1624

Abstract

In the rapid development of technology, there is a high crime rate. Therefore becomes very important. Many efforts can be made to secure a place and room, such as installing a security lock on the door or using a CCTV camera. But this is not enough to prevent crime from happening. Night Vision is the ability to see either in a biological or technological sense in a dark environment. Night vision capability can be achieved using two approaches, namely increasing the visible spectrum of the wave spectrum or increasing the ability to see low light intensities. Night vision has advantages and disadvantages, especially in conditions of very low light intensity. This technology has developed from time to time such as, there is the camera that uses sophisticated and modern electronic systems. Therefore, in this study, modern technology was designed with a smart security system that can be used to maintain home security or hunt at night.
Analisis Pengaruh Suhu Preheating 125˚C, 150˚C Dan 200˚C Hasil Pengecoran Logam Terhadap Terjadinya Hot Tearing Menggunakan Material Alumunium 6061 Muhammad Luthfi; Haris, Emin; Van Gunawan, Leo; Luthfi, Muhammad; Rakhman, Abdul
Journal of Applied Mechanical Engineering and Renewable Energy Vol 4 No 1 (2024)
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jamere.v4i1.783

Abstract

The aluminum casting industry has experienced a lot of innovation and creativity to maintain its existence. Metal casting is a process by which hot molten metal is poured into a mold containing hollow pieces or cavities of the desired finished shape. The process of casting with a permanent mold is preheating the casting mold before the casting process is carried out. This is done so that the temperature of the casting mold increases, so that the difference between the temperature of the mold and the temperature of the aluminum to be poured is not too great. This study aims to overcome or prevent hot tearing by increasing the preheating temperature in the mold. The test results show that the preheating temperature of 200ºC does not experience shrinkage in the metal casting results. Whereas at preheating temperatures of 125ºC and 150ºC there are hot tearing defects and there is shrinkage. whereas at the preheating temperature variation of 200ºC there are only shrinkage defects. The results of the vickers hardness test showed that the higher the preheating temperature, the hardness value of the casting product will increase. The highest vickers hardness value was obtained at the 200°C preheating temperature variation of 69.55 HV, while at the 150°C preheating temperature variation, the vickers hardness value was 68.51 HV. and at a variation of the preheating temperature of 125ºC, the vickers hardness value is 67.04 HV. The results obtained from metallographic testing are aluminum 6061. Judging from the microstructure at the 200℃ preheating variation, the dentite grains look smaller than the 125℃ preheating variation and the 150℃ preheating variation. It can be concluded that the higher the preheating temperature, the better the denrite density.
Rancang Bangun Extractor Susu Kedelai Menggunakan Metode Komunikasi Serial Asinkron Berbasis IoT Nurmalasari, Aprilliya; Salamah, Irma; Rakhman, Abdul
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 6 No. 1 (2023): Jurnal RESISTOR Edisi April 2023
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v6i1.1408

Abstract

Kacang kedelai banyak diminati, terutama dalam bidang olahan bahan dasar makanan. Harga kacang kedelai yang relatif murah sangat mudah dipasarkan di semua kalangan. Memproses kacang kedelai dengan cara manual sudah sangat lazim dilakukan dan diproses menggunakan mesin juga sudah dilakukan oleh industri-industri menengah ke bawah apalagi industri menengah ke atas dengan perbedaan jumlah produksi dalam waktu yang berbeda-beda. Pada penelitian ini dilakukan pengembangan dengan menambahkan IoT pada mesin extractor yang menggunakan sistem software dari Thingspeak, di desain pada web MIT Inventor dan juga trasnfer data dengan metode komunikasi data serial Asinkron. Dengan muatan sekali produksi susu kedelai yang tidak begitu besar karena untuk alat bantu rumah tangga.
Rancang Bangun Vending Machine Komponen Elektronika dengan Identifikasi RFID Berbasis IoT Soleh, M. Zikri; Salamah, Irma; Rakhman, Abdul
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.573

Abstract

Electronic components are objects that are supporting parts of an electronic circuit that can operate according to their application. Among them are PCB boards, resistors, transistors, and many more. In assembling a series of students, additional components are often needed which are caused by errors in assembling a circuit. An error in assembling causes a component to be damaged, because the electronic component given by the lecturer is only once. Based on the explanation above, a solution can be found in the form of the application of vending machines for electronic components that can be applied in certain places, such as in the Telecommunication Engineering lab of the Indonesian National Police.  Vending machine is a machine that can accommodate certain objects and can eject them automatically with a trigger programed by the designer, in this case electronic components are used as objects that will be removed from the box. With this tool aims to make it easier for students to get electronic components for free practically and not spend a lot of time, they can use Radio Frequency Identification (RFID) as a detection tool on the vending machine. This research uses RFID technology where, when the user wants to take one of the components of the vending machine, the user must have an RFID-based card that has been previously made so that it can proceed to the next stage, namely component retrieval.
Analysis of DVB-T2 TV Broadcast Receiver with Comparison of Signal Reception Quality Dzikrillah, Muhammad; Handayani, Ade Silvia; Rakhman, Abdul
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 1 (2024): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i1.6429

Abstract

Television is one of the most widely used media for receiving sound and image transmissions worldwide, particularly in Indonesia. Government regulations require all television broadcasters in Indonesia to cease analog broadcasts and transition to digital broadcasts. Consequently, a device known as the Set Top Box (STB), equipped with a low noise amplifier (LNA), converts DVB-T2 digital signals into images and audio suitable for analog televisions. Tests were conducted to evaluate its signal reception capabilities. These tests took place at four Palembang city locations, utilizing indoor and outdoor antennas. The results revealed that the device's signal strength ranged from -48.7 dBm, reaching 100% signal quality, to the weakest signal at -97 dBm. Moreover, an average difference of 6.9 dB was observed between indoor and outdoor testing for each frequency. Furthermore, analyzing the average signal strength based on distance showed that the highest strength of -56.2 dBm occurred at a distance of 1.5 km from the transmitter during outdoor testing. In comparison, the weakest strength of -91.6 dBm occurred at a distance of 1.8 km during indoor testing. Additionally, a signal strength comparison between test locations indicated that the most significant difference was between the Kamboja and Plaju locations. The LNA device achieved its highest gain value of 15.2 dB. Various factors, including antenna direction, obstructions such as buildings, antenna height, signal stability, and the distance between the transmitter and receiver, influence the signal quality.
Co-Authors Ade Silvia Handayani Ahmad Taqwa Ali Nurdin Dzikrillah, Muhammad Endri, Jon Haris, Emin Irma Salamah Kurniasih, Wahyuni Leo Van Gunawan Lindawati Lindawati Meutia Deli Rachmawati Miranda, Nadia Monika, Sinar Monika, Sinar Muhammad Luthfi Muhammad Luthfi Nurmalasari, Aprilliya Oktari, Nisa Gracella Aslamia Rafika, Mutia Rizky Tarmizi, Kgs.M.Dian Akbar Soleh, M. Zikri Widya, Afni Rara Zakka, Iqlima Sabila